AI in Saudi Arabia
Future-proof your business with applied AI.
We integrate practical AI — chatbots, predictive analytics and automation — that cut costs and unlock new capabilities for Saudi businesses.
Start a Project →AI Chatbots
Bilingual assistants that serve customers 24/7.
Automation
Remove repetitive work with smart workflows.
Predictive Analytics
Turn data into forward-looking decisions.
Custom Models
Solutions tailored to your domain and data.
AI that survives contact with an enterprise
The gap between an impressive AI demo and a system people use daily is where most enterprise AI budgets disappear. The demo is easy. Handling messy documents, access control, Arabic retrieval quality, auditability and the moment the model is confidently wrong is the actual work.
We build AI systems the way we build any production software — with evaluation, monitoring, fallbacks and a clear answer to what happens when it fails.
Arabic is genuinely harder
Arabic retrieval suffers from rich morphology, absent diacritics, dialect variation and enterprise documents that exist only as scanned images. Systems that work in English frequently return poor results in Arabic until text normalisation, hybrid search and reranking are addressed deliberately.
Data sovereignty
Many Saudi organisations cannot send data to third-party APIs. Open-weight models such as Qwen, Llama and DeepSeek can be self-hosted on in-Kingdom infrastructure, so inference never leaves your network. This is now practical at reasonable cost.
Retrieval before fine-tuning
Fine-tuning a model to teach it your company's facts is the most common and most expensive mistake in enterprise AI. It produces confident, uncitable, immediately stale answers. Retrieval keeps knowledge current and auditable.
What we build
Internal knowledge assistants
Answering staff questions from policies, procedures, contracts and technical documentation, with citations back to the source document and access control that respects existing permissions.
Customer support automation
Handling routine enquiries in Arabic and English with confident escalation to a human when confidence is low, rather than guessing.
Document processing
Extraction, classification and summarisation of invoices, contracts, applications and reports, including Arabic OCR for scanned material.
AI agents and workflow automation
Multi-step processes that read from systems, apply rules and take actions, with human approval gates at the points where errors would be costly.
What's included
- Use case assessment and feasibility review
- Data audit and document quality assessment
- Arabic-capable retrieval architecture
- Self-hosted or API model deployment
- Evaluation harness with real user questions
- Access control aligned to existing permissions
- Citation and auditability by design
- Human-in-the-loop approval gates
- Monitoring, logging and cost controls
- Handover documentation and team training
Frequently Asked Questions
Can AI models run entirely inside Saudi Arabia?+
Yes. Open-weight models such as Qwen, Llama and DeepSeek can be self-hosted on in-Kingdom cloud infrastructure or your own hardware, so no data leaves your network.
Should we fine-tune a model on our documents?+
Usually not. Fine-tuning to add facts produces answers that cannot be cited and become stale immediately. Retrieval-augmented generation keeps knowledge current and auditable.
Why do AI systems perform worse in Arabic?+
Arabic has rich morphology, usually lacks diacritics in real documents, varies between formal and dialect forms, and enterprise documents are often scanned images. Each requires deliberate handling in the retrieval pipeline.
How much does an AI project cost in Saudi Arabia?+
Agent and automation builds typically run SAR 60,000 to SAR 400,000 depending on integration complexity, document volume and whether infrastructure is self-hosted.
How do you stop the AI giving wrong answers?+
Through retrieval with citations, an evaluation harness tested against real user questions, confidence thresholds that trigger escalation, and human approval gates on consequential actions.
How long does an AI prototype take?+
A focused prototype over a few hundred real documents typically takes a few weeks, and tells you more about your data quality than a strategy document will.